A study was conducted to determine the diagnostic performance of AI ECG interpretation for diagnosing STEMI. Artificial intelligence-based algorithms that utilize electrocardiogram data demonstrate ...
Background: Prehospital identification of STEMI reduces time to reperfusion by timely primary PCI or fibrinolytic therapy. We previously reported that 40-50% of prehospital ECG transmissions meeting ...
Background: The diagnosis of suspected ST-elevation myocardial infarction (STEMI) requires electrocardiograms (ECGs) done in emergent settings across the world. Despite access to ECG machines, the ...
An artificial intelligence (AI) algorithm that mines ECG data and alerts the primary PCI team to activate the cath lab can reduce STEMI patients’ arrival times by as much as 10 minutes, according to ...
Patients who have a ST-segment-elevation myocardial infarction while hospitalized for other conditions experience delays in reperfusion when compared with those who have a STEMI while outside the ...
A study was conducted to examine the predictive performance of an AI ECG algorithm for identifying occlusive myocardial infarction. False-positive alerts for STEMI in the ED may be reduced with use of ...
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